Top Tech Jobs & Startup Jobs in Los Angeles, CA

Owns end-to-end architecture and implementation of high-performance communication and memory-management libraries for distributed AI. The role drives GPU, DPU, NIC, and switch hardware-software co-optimization; profiles data movement across memory, storage, and networks; integrates networking into AI serving frameworks; contributes to open source; mentors engineers; leads design reviews; and prototypes emerging technologies.

Performs custom physical mask layout for digital, analog, and mixed-signal circuits in submicron CMOS technologies. Responsibilities include floor planning, layout verification, DRC/LVS debugging, fill and post-processing, DRC mitigation, foundry interaction, and ASIC/VLSI integration. The role collaborates with circuit and mask designers, mentors junior team members, establishes layout processes, and supports automation using scripting languages.

Lead a team of performance engineers to optimize complex workloads on NVIDIA's CPUs and GPUs, driving technical excellence and innovation while mentoring team members and collaborating with cross-functional partners.

Senior software engineer on Developer Tools working across frontend and backend to design, implement, and ship profiling features for cloud and cluster environments. Collaborate with cross-functional teams, interact with users, and deliver end-to-end product features from prototypes to demos focused on collecting, analyzing, and visualizing performance data.

Lead GPU and NVLink-based cluster design and validation for large-scale AI and HPC deployments. Advise cloud partners on architectures, perform performance modeling, debug deployment issues, support NPI rollouts, and relay field feedback to engineering.

Define system and technical requirements for fault-tolerant quantum computing across hardware, software, and firmware. Develop real-time quantum error correction and calibration approaches, perform systems analysis across qubit modalities, and create and review test cases. Collaborate with product, research, engineering, and external partner teams to advance quantum control systems, quantum computing products, and related NVIDIA technologies.

Lead GPU and HPC cluster architecture and deployment for cloud partners: design end-to-end GPU/NVLink infrastructures, perform performance modeling, validate and debug cluster configurations, support NPI deployments, and serve as technical liaison between engineering, product, and field teams.

Design and implement functional GPU architecture models and simulation platforms. Develop tools, tests, and validation infrastructure, collaborate with architecture and engineering teams, and apply AI/ML to improve simulation and analysis workflows.

The role involves integrating AI supercomputing systems into datacenters, collaborating with engineering teams, and producing documentation for processes related to datacenter integration and fit-out.

The role involves validating clocking structures in products, developing test plans, automation, and partnering with design teams to ensure high-quality verification of ASIC designs.